Abstract
Using the world's largest data set of in situ ocean current measurements, combined with a high-resolution topography roughness data set, we use a model-assisted hierarchical clustering methodology to estimate the global lee wave generation rate at the ocean floor. Our analysis suggests that internal wave generation contributes 0.75±0.19 TW (±2 standard deviation) to the oceanic energy budget but with a strong dependence on the Brunt-Väisäla (buoyancy) frequency climatology used. This estimate is higher than previous calculations and suggests that internal wave generation may be a much more significant contributor to the global oceanic mechanical energy budget than had previously been assumed. Our results imply that lee wave generation and propagation may be a dominant sink of at least half and potentially the overwhelming majority of ocean surface wind work on the geostrophic circulation. Key Points Internal wave generation may contribute 0.75±0.19 TW to oceanic energy budget This estimate is much higher than previous calculations Implies lee wave generation may be a dominant sink of wind work on surface
| Original language | English |
|---|---|
| Pages (from-to) | 2434-2440 |
| Number of pages | 7 |
| Journal | Geophysical Research Letters |
| Volume | 41 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 16 Apr 2014 |
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Dive into the research topics of 'Lee wave generation rates in the deep ocean'. Together they form a unique fingerprint.Profiles
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Corwin Wright
- Department of Electronic & Electrical Engineering - Professor
- Centre for Climate Adaptation & Environment Research (CAER) - Co-Director
- Centre for Artificial Intelligence
Person: Research & Teaching, Core staff, Affiliate staff
Equipment
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High Performance Computing (HPC) Facility
Chapman, S. (Manager)
University of BathFacility/equipment: Facility
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